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Newsletter #265: PySpark 4.0: Query Nested JSON Without StructType

Newsletter #265: PySpark 4.0: Query Nested JSON Without StructType


๐Ÿ“… Today’s Picks

PySpark 4.0: Query Nested JSON Without StructType

Code example: PySpark 4.0: Query Nested JSON Without StructType

Problem

Extracting nested JSON in PySpark requires defining StructType inside StructType inside StructType. This creates verbose, inflexible code that breaks when your JSON structure changes.

Solution

PySpark 4.0’s Variant type lets you skip schema definitions entirely. All you need is parse_json() to load and variant_get() to extract with JSONPath.

Key benefits:

  • No upfront schema definition
  • Handle any nesting depth with simple $.path syntax
  • Schema changes don’t break your code
  • Extract only the fields you need, when you need them

โ˜•๏ธ Weekly Finds

toon [LLM] – Compact, human-readable JSON encoding for LLM prompts with schema-aware Token-Oriented Object Notation

cocoindex [Data Processing] – Ultra performant data transformation framework for AI with incremental processing

sqlfluff [Data Engineer] – Modular SQL linter and auto-formatter with support for multiple dialects and templated code

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